On deep learning, artificial neural networks, artificial life, and good old-fashioned AI

In the second part of her Q&A, Maggie Boden, Research Professor of Cognitive Science at the University of Sussex and one of the best known figures in the field of Artificial Intelligence,
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In the second part of her Q&A, Maggie Boden, Research Professor of Cognitive Science at the University of Sussex, and one of the best known figures in the field of Artificial Intelligence, answers four more questions about this developing area. At a theoretical level, the concept of Artificial Intelligence has fueled and sharpened the philosophical debates on the nature of the mind, intelligence, and the uniqueness of human beings. Insights from the field have proved invaluable to biologists, psychologists, and linguists in helping to understand the processes of memory, learning, and language. What are artificial neural networks (ANNs)? ANNs are computer systems made of large number of interconnected units, each of which can compute only one (very simple) thing. They are (very broadly) inspired by the structure of brains. Most ANNs can learn. They usually do this by changing the ‘weights’ on the connections, which makes activity in one unit more or less likely to excite activity. . .

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News source: OUPblog » Philosophy

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